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  1. taobao taobao Public

    此项目以淘宝app的用户消费行为数据为数据集,通过行业的指标对淘宝用户行为进行分析,从而探索淘宝用户的行为模式,具体指标包括:日PV和日UV分析,付费率分析,复购行为分析,漏斗流失分析和用户价值RFM分析。为用户运营更好地解析和管理用户(例如对高价值用户的维系、对低价值用户的适当舍弃等),降低运营成本最大化运营效果提供有力的数据支撑。

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    该数据集是由 Machine Learning Repository 基于一个英国电商公司从2010年月12号到2011年9月12号的真实的交易数据集进行改造的。 该电商主要销售的商品是各类礼品, 主要客户是来自不同国家的的分销商。